🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 158 (from laksa075)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa158.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.anaconda.com/blog/code-in-the-cloud-with-anaconda-for-free\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.anaconda.com/blog/code-in-the-cloud-with-anaconda-for-free\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.anaconda.com\/blog\/code-in-the-cloud-with-anaconda-for-free","crawl_time":1775736578,"first_indexed_time":1675782875,"http_code":200,"src_unparsed":"com,anaconda!www,\/blog\/code-in-the-cloud-with-anaconda-for-free s443","src_root_hash":"5660333164590519358","history_drop_reason":null,"meta_title":"Code in the Cloud With Anaconda—for Free! | Anaconda","meta_descriptions":[],"attrs_boilerpipe_text":"We are thrilled to announce that Anaconda’s cloud-hosted, ready-to-code notebook is now available for free on \nAnaconda’s cloud platform\n.\nLast Fall, we introduced Anaconda’s fully-loaded and ready-to-code cloud notebook as part of Anaconda’s paid subscription plans. Today, we are thrilled to deliver on our mission to empower people with data literacy and announce the free availability of Anaconda’s cloud notebook. Now, truly anyone can break into the world of data science and start coding immediately.\nPaid plans on Anaconda’s cloud platform will continue to include greater cloud-hosted, persistent storage (up to 10 GB) and high-compute seconds (up to 4,000 seconds).\nBreaking Into Data Science Has Never Been Easier\nForget the days of configuring complex Pythonic instances on your desktop. Anaconda’s cloud notebook offers an effortless data science environment that was built to enable lightweight or on-the-go data science work.\nWe have preconfigured Jupyter’s open-source development interface to deliver instant access to hundreds of the most popular and powerful Anaconda packages in a full-featured Jupyter notebook. So whether you use a Chromebook, Netbook, or your cousin’s hand-me-down, with just an internet connection, you too can easily access high computing power, move and host asset files, and spin up data science projects from anywhere.\nPython: A Coding Language That Fits in Your Head\nThe applications of Python are nearly infinite, and the language itself is beautifully human—readable and iterable. The popularity of Python and the role it plays in data science has become an undeniable force in societies, infrastructures, and the global pursuit of scientific discovery.\nAnaconda’s distribution was originally built to power web-enabled, distributed access to core scientific and numerical computing packages. Today Anaconda Distribution is used by over 30 million users around the world, resulting in a staggering amount of \ncreative problem solving\n. Our users are building solutions for \nfan controller programs\n, \nreal-time satellite imagery\n, and more!\nThe Jupyter project has kindly curated dozens of sample notebooks. \nYou should check them out\n!\nClosing\nWhether you’re Python-curious or Python-furious, there’s never been a better time to join in on the Python revolution. Make the switch, sharpen your skills, and start coding immediately to build \nyour\n purpose-built solutions anywhere you go. With Anaconda’s cloud notebook, it’s easier than ever to take advantage of cloud-hosted Python computing. Plus, it’s free! You’ve got nothing to lose. 🙂\nTo get started, \nhead to \nAnaconda’s cloud platform\n and create an account (if you haven’t already). Then, click “Notebooks” in the top navigation bar to access Anaconda’s cloud-hosted notebook—or enter “nb.anaconda.cloud” in your browser to navigate to the notebook directly. Happy coding!","attrs_markdown":"[Skip to content](https:\/\/www.anaconda.com\/blog\/code-in-the-cloud-with-anaconda-for-free#content)\n\n[![Anaconda Homepage](https:\/\/www.anaconda.com\/wp-content\/uploads\/2024\/11\/2020_Anaconda_Logo_RGB_Corporate.png)](https:\/\/www.anaconda.com\/)\n\n- [Products](https:\/\/www.anaconda.com\/blog\/code-in-the-cloud-with-anaconda-for-free)\n  - - - #### ANACONDA PLATFORM\n        - [Platform OverviewEnterprise Python and AI](https:\/\/www.anaconda.com\/platform)\n        - [Anaconda CorePython package management](https:\/\/www.anaconda.com\/platform\/core)\n        - [Anaconda AI CatalystAI development suite](https:\/\/www.anaconda.com\/platform\/ai-catalyst)\n        - [Deployment OptionsCloud, self-hosted, and more](https:\/\/www.anaconda.com\/platform\/deployment-options)\n    - - #### FOR DEVELOPERS\n        - [Anaconda Distribution](https:\/\/www.anaconda.com\/download)\n        - [Navigator](https:\/\/www.anaconda.com\/products\/navigator)\n        - [Notebooks](https:\/\/www.anaconda.com\/products\/notebooks)\n        - [Excel Toolbox](https:\/\/www.anaconda.com\/products\/excel-toolbox)\n    - - #### PLATFORM BENEFITS\n        - [Security & Governance](https:\/\/www.anaconda.com\/platform\/secure-governance)\n        - [Trusted Distribution](https:\/\/www.anaconda.com\/platform\/trusted-distribution)\n        - [Actionable Insights](https:\/\/www.anaconda.com\/platform\/actionable-insights)\n    - - #### PLATFORM & LICENSING\n        - [Pricing & Plans](https:\/\/www.anaconda.com\/pricing)\n        - [Buy Starter Licenses](https:\/\/www.anaconda.com\/app\/payment\/checkout?billing=monthly&product=starter_subscription)\n        - [Buy Business Licenses](https:\/\/www.anaconda.com\/app\/payment\/checkout?billing=monthly&product=security_subscription)\n- [Solutions](https:\/\/www.anaconda.com\/blog\/code-in-the-cloud-with-anaconda-for-free)\n  - - - #### CAPABILITIES\n        - [AI\/ML Model Development](https:\/\/www.anaconda.com\/capability\/machine-learning)\n        - [Team Collaboration](https:\/\/www.anaconda.com\/capability\/team-collaboration)\n        - [Code Assistance](https:\/\/www.anaconda.com\/capability\/anaconda-assistant)\n        - [View All Capabilities →](https:\/\/www.anaconda.com\/capabilities)\n    - - #### INDUSTRIES\n        - [Education](https:\/\/www.anaconda.com\/industries\/education)\n        - [Financial Services](https:\/\/www.anaconda.com\/industries\/financial-services)\n        - [Healthcare](https:\/\/www.anaconda.com\/industries\/healthcare)\n        - [Manufacturing](https:\/\/www.anaconda.com\/industries\/manufacturing)\n        - [Technology](https:\/\/www.anaconda.com\/industries\/technology)\n    - - #### SERVICES & SUPPORT\n        - [Professional Services](https:\/\/www.anaconda.com\/professional-services)\n        - [Support](https:\/\/www.anaconda.com\/support)\n- [Resources](https:\/\/www.anaconda.com\/blog\/code-in-the-cloud-with-anaconda-for-free)\n  - - - #### FOR USERS\n        - [Community Forums](https:\/\/forum.anaconda.com\/)\n        - 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- - #### ANACONDA PLATFORM\n        - [Platform OverviewEnterprise Python and AI](https:\/\/www.anaconda.com\/platform)\n        - [Anaconda CorePython package management](https:\/\/www.anaconda.com\/platform\/core)\n        - [Anaconda AI CatalystAI development suite](https:\/\/www.anaconda.com\/platform\/ai-catalyst)\n        - [Deployment OptionsCloud, self-hosted, and more](https:\/\/www.anaconda.com\/platform\/deployment-options)\n    - - #### FOR DEVELOPERS\n        - [Anaconda Distribution](https:\/\/www.anaconda.com\/download)\n        - [Navigator](https:\/\/www.anaconda.com\/products\/navigator)\n        - [Notebooks](https:\/\/www.anaconda.com\/products\/notebooks)\n        - [Excel Toolbox](https:\/\/www.anaconda.com\/products\/excel-toolbox)\n    - - #### PLATFORM BENEFITS\n        - [Security & Governance](https:\/\/www.anaconda.com\/platform\/secure-governance)\n        - [Trusted Distribution](https:\/\/www.anaconda.com\/platform\/trusted-distribution)\n        - [Actionable Insights](https:\/\/www.anaconda.com\/platform\/actionable-insights)\n    - - #### PLATFORM & LICENSING\n        - [Pricing & Plans](https:\/\/www.anaconda.com\/pricing)\n        - [Buy Starter Licenses](https:\/\/www.anaconda.com\/app\/payment\/checkout?billing=monthly&product=starter_subscription)\n        - [Buy Business Licenses](https:\/\/www.anaconda.com\/app\/payment\/checkout?billing=monthly&product=security_subscription)\n- [Solutions](https:\/\/www.anaconda.com\/blog\/code-in-the-cloud-with-anaconda-for-free)\n  - - - #### CAPABILITIES\n        - [AI\/ML Model Development](https:\/\/www.anaconda.com\/capability\/machine-learning)\n        - [Team Collaboration](https:\/\/www.anaconda.com\/capability\/team-collaboration)\n        - [Code Assistance](https:\/\/www.anaconda.com\/capability\/anaconda-assistant)\n        - [View All Capabilities →](https:\/\/www.anaconda.com\/capabilities)\n    - - #### INDUSTRIES\n        - [Education](https:\/\/www.anaconda.com\/industries\/education)\n        - [Financial Services](https:\/\/www.anaconda.com\/industries\/financial-services)\n        - [Healthcare](https:\/\/www.anaconda.com\/industries\/healthcare)\n        - [Manufacturing](https:\/\/www.anaconda.com\/industries\/manufacturing)\n        - [Technology](https:\/\/www.anaconda.com\/industries\/technology)\n    - - #### SERVICES & SUPPORT\n        - [Professional Services](https:\/\/www.anaconda.com\/professional-services)\n        - [Support](https:\/\/www.anaconda.com\/support)\n- [Resources](https:\/\/www.anaconda.com\/blog\/code-in-the-cloud-with-anaconda-for-free)\n  - - - #### FOR USERS\n        - [Community Forums](https:\/\/forum.anaconda.com\/)\n        - [Documentation](https:\/\/www.anaconda.com\/docs)\n        - [Download Distribution](https:\/\/www.anaconda.com\/download)\n        - [Getting Started Guide](https:\/\/www.anaconda.com\/docs\/getting-started)\n        - [Product Feedback](https:\/\/www.anaconda.com\/feedback)\n        - [Tutorials & Learning](https:\/\/www.anaconda.com\/learning)\n    - - #### MEET US\n        - [Events](https:\/\/www.anaconda.com\/events)\n        - [Podcast](https:\/\/www.anaconda.com\/resources\/podcast)\n        - [Webinars](https:\/\/www.anaconda.com\/resources\/webinar)\n    - - #### ARTICLES\n        - [Blog](https:\/\/www.anaconda.com\/blog)\n        - [Case Studies](https:\/\/www.anaconda.com\/resources\/case-study)\n        - [Guides](https:\/\/www.anaconda.com\/guides)\n        - [Topics](https:\/\/www.anaconda.com\/topics)\n        - [Whitepapers](https:\/\/www.anaconda.com\/resources\/whitepaper)\n    - - #### SUPPORT\n        - [Help Center](https:\/\/www.anaconda.com\/support)\n        - [Professional Services](https:\/\/www.anaconda.com\/professional-services)\n        - [System Status](https:\/\/anaconda.statuspage.io\/)\n- [Company](https:\/\/www.anaconda.com\/blog\/code-in-the-cloud-with-anaconda-for-free)\n  - - - #### ABOUT US\n        - [Our Story](https:\/\/www.anaconda.com\/about-us)\n        - [Leadership Team](https:\/\/www.anaconda.com\/about-us\/leadership)\n        - [Partners](https:\/\/www.anaconda.com\/partners)\n    - - #### PRESS\n        - [Press Releases](https:\/\/www.anaconda.com\/press)\n        - [In the News](https:\/\/www.anaconda.com\/newsroom)\n    - - #### CONTACT\n        - [Contact Us](https:\/\/www.anaconda.com\/contact)\n        - [Sales Inquiries](https:\/\/www.anaconda.com\/contact\/sales)\n    - - #### CAREERS\n        - [Join Our Team](https:\/\/www.anaconda.com\/about-us\/careers)\n- [Free Download](https:\/\/www.anaconda.com\/download)\n- [Sign In](https:\/\/auth.anaconda.com\/ui\/login)\n- [Get Demo](https:\/\/www.anaconda.com\/request-a-demo)\n\n[Home](https:\/\/www.anaconda.com\/) [Blog](https:\/\/www.anaconda.com\/blog\/) Code in the Cloud With Anaconda—for Free\\!\n\nProduct\n\n# Code in the Cloud With Anaconda—for Free\\!\nBy [Anna Ng](https:\/\/www.anaconda.com\/blog\/author\/anna-ng\/)\n\n- February 7, 2023\n\n**We are thrilled to announce that Anaconda’s cloud-hosted, ready-to-code notebook is now available for free on* [*Anaconda’s cloud platform*](http:\/\/anaconda.cloud\/)*.**\n\nLast Fall, we introduced Anaconda’s fully-loaded and ready-to-code cloud notebook as part of Anaconda’s paid subscription plans. Today, we are thrilled to deliver on our mission to empower people with data literacy and announce the free availability of Anaconda’s cloud notebook. Now, truly anyone can break into the world of data science and start coding immediately.\n\nPaid plans on Anaconda’s cloud platform will continue to include greater cloud-hosted, persistent storage (up to 10 GB) and high-compute seconds (up to 4,000 seconds).\n\n## Breaking Into Data Science Has Never Been Easier\nForget the days of configuring complex Pythonic instances on your desktop. Anaconda’s cloud notebook offers an effortless data science environment that was built to enable lightweight or on-the-go data science work.\n\nWe have preconfigured Jupyter’s open-source development interface to deliver instant access to hundreds of the most popular and powerful Anaconda packages in a full-featured Jupyter notebook. So whether you use a Chromebook, Netbook, or your cousin’s hand-me-down, with just an internet connection, you too can easily access high computing power, move and host asset files, and spin up data science projects from anywhere.\n\n## Python: A Coding Language That Fits in Your Head\nThe applications of Python are nearly infinite, and the language itself is beautifully human—readable and iterable. The popularity of Python and the role it plays in data science has become an undeniable force in societies, infrastructures, and the global pursuit of scientific discovery.\n\nAnaconda’s distribution was originally built to power web-enabled, distributed access to core scientific and numerical computing packages. Today Anaconda Distribution is used by over 30 million users around the world, resulting in a staggering amount of [creative problem solving](https:\/\/www.anaconda.com\/blog\/). Our users are building solutions for [fan controller programs](https:\/\/www.anaconda.com\/blog\/create-an-intermittent-fan-controller-with-python\/), [real-time satellite imagery](https:\/\/www.anaconda.com\/blog\/project-shackleton-an-open-source-dashboard-for-real-time-routing-with-satellite-imagery\/), and more\\!\n\nThe Jupyter project has kindly curated dozens of sample notebooks. [You should check them out](https:\/\/github.com\/jupyter\/jupyter\/wiki)\\!\n\n## Closing\nWhether you’re Python-curious or Python-furious, there’s never been a better time to join in on the Python revolution. Make the switch, sharpen your skills, and start coding immediately to build *your* purpose-built solutions anywhere you go. With Anaconda’s cloud notebook, it’s easier than ever to take advantage of cloud-hosted Python computing. Plus, it’s free! You’ve got nothing to lose. 🙂\n\nTo get started, **head to** [**Anaconda’s cloud platform**](https:\/\/anaconda.cloud\/) and create an account (if you haven’t already). Then, click “Notebooks” in the top navigation bar to access Anaconda’s cloud-hosted notebook—or enter “nb.anaconda.cloud” in your browser to navigate to the notebook directly. Happy coding\\!\n\n[PrevPrevious ArticleIntroducing a New Plugin Mechanism for conda](https:\/\/www.anaconda.com\/blog\/introducing-a-new-plugin-mechanism-for-conda)\n\n[Next ArticleUpcoming Release(s): Anaconda Distribution 2023.03 and BeyondNext](https:\/\/www.anaconda.com\/blog\/upcoming-releases-anaconda-distribution-2023-03-and-beyond)\n\n###### You May Also Like\n### [Anaconda Expands Platform Capabilities to Accelerate AI Development](https:\/\/www.anaconda.com\/blog\/anaconda-expands-platform-capabilities-accelerate-ai-development)\nMatt Madden\n\n### [Anaconda AI Catalyst: Governing AI Lifecycles From NVIDIA DGX Spark to Nemotron](https:\/\/www.anaconda.com\/blog\/anaconda-ai-catalyst-governing-ai-lifecycles-nvidia-dgx-spark-nemotron)\nSeth Clark\n\n### [Updated CPU Requirements for Linux and Recommendations for Windows](https:\/\/www.anaconda.com\/blog\/updated-cpu-requirements-linux-recommendations-windows)\nTyler Ferguson\n\n## You May Also Like\n### [Anaconda Expands Platform Capabilities to Accelerate AI Development](https:\/\/www.anaconda.com\/blog\/anaconda-expands-platform-capabilities-accelerate-ai-development)\nMatt Madden\n\n[Read More](https:\/\/www.anaconda.com\/blog\/anaconda-expands-platform-capabilities-accelerate-ai-development)\n\n### [Anaconda AI Catalyst: Governing AI Lifecycles From NVIDIA DGX Spark to Nemotron](https:\/\/www.anaconda.com\/blog\/anaconda-ai-catalyst-governing-ai-lifecycles-nvidia-dgx-spark-nemotron)\nSeth Clark\n\n[Read More](https:\/\/www.anaconda.com\/blog\/anaconda-ai-catalyst-governing-ai-lifecycles-nvidia-dgx-spark-nemotron)\n\n### [Updated CPU Requirements for Linux and Recommendations for Windows](https:\/\/www.anaconda.com\/blog\/updated-cpu-requirements-linux-recommendations-windows)\nTyler Ferguson\n\n[Read More](https:\/\/www.anaconda.com\/blog\/updated-cpu-requirements-linux-recommendations-windows)\n\n###### Company\n- [Press](https:\/\/www.anaconda.com\/press)\n- 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Guide](https:\/\/www.anaconda.com\/guides\/ai-governance-platform-trust)\n- [AI Platform Guide](https:\/\/www.anaconda.com\/guides\/definitive-guide-to-ai-platforms)\n- [Python Data Structures Guide](https:\/\/www.anaconda.com\/blog\/python-data-structures-types-use-cases-complexity)\n- [State of Data Science Report](https:\/\/www.anaconda.com\/resources\/report\/8th-annual-state-of-data-science)\n\n[Create Account](https:\/\/auth.anaconda.com\/ui\/registration)\n\n[Contact Sales](https:\/\/www.anaconda.com\/contact\/sales)\n\n[Create Account](https:\/\/www.anaconda.com\/blog\/code-in-the-cloud-with-anaconda-for-free)\n\n[Contact 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All rights reserved.\n\n- [Legal](https:\/\/www.anaconda.com\/legal)\n- [Accessibility](https:\/\/www.anaconda.com\/accessibility)\n- [Privacy Policy](https:\/\/legal.anaconda.com\/policies\/en\/)\n- [Terms of Use](https:\/\/www.anaconda.com\/legal\/terms\/terms-of-service)\n\n- [Legal](https:\/\/www.anaconda.com\/legal)\n- [Accessibility](https:\/\/www.anaconda.com\/accessibility)\n- [Privacy Policy](https:\/\/legal.anaconda.com\/policies\/en\/)\n- [Terms of Use](https:\/\/www.anaconda.com\/legal\/terms\/terms-of-service)\n\n![](https:\/\/www.facebook.com\/tr?id=592852786622272&ev=PageView&noscript=1)\n\n[Powered by Conversica](https:\/\/www.conversica.com\/?utm_source=chat&utm_medium=webchat&utm_campaign=chat.conversica.com)","attrs_readable_markdown":"**We are thrilled to announce that Anaconda’s cloud-hosted, ready-to-code notebook is now available for free on* [*Anaconda’s cloud platform*](http:\/\/anaconda.cloud\/)*.**\n\nLast Fall, we introduced Anaconda’s fully-loaded and ready-to-code cloud notebook as part of Anaconda’s paid subscription plans. Today, we are thrilled to deliver on our mission to empower people with data literacy and announce the free availability of Anaconda’s cloud notebook. Now, truly anyone can break into the world of data science and start coding immediately.\n\nPaid plans on Anaconda’s cloud platform will continue to include greater cloud-hosted, persistent storage (up to 10 GB) and high-compute seconds (up to 4,000 seconds).\n\n## Breaking Into Data Science Has Never Been Easier\nForget the days of configuring complex Pythonic instances on your desktop. Anaconda’s cloud notebook offers an effortless data science environment that was built to enable lightweight or on-the-go data science work.\n\nWe have preconfigured Jupyter’s open-source development interface to deliver instant access to hundreds of the most popular and powerful Anaconda packages in a full-featured Jupyter notebook. So whether you use a Chromebook, Netbook, or your cousin’s hand-me-down, with just an internet connection, you too can easily access high computing power, move and host asset files, and spin up data science projects from anywhere.\n\n## Python: A Coding Language That Fits in Your Head\nThe applications of Python are nearly infinite, and the language itself is beautifully human—readable and iterable. The popularity of Python and the role it plays in data science has become an undeniable force in societies, infrastructures, and the global pursuit of scientific discovery.\n\nAnaconda’s distribution was originally built to power web-enabled, distributed access to core scientific and numerical computing packages. Today Anaconda Distribution is used by over 30 million users around the world, resulting in a staggering amount of [creative problem solving](https:\/\/www.anaconda.com\/blog\/). Our users are building solutions for [fan controller programs](https:\/\/www.anaconda.com\/blog\/create-an-intermittent-fan-controller-with-python\/), [real-time satellite imagery](https:\/\/www.anaconda.com\/blog\/project-shackleton-an-open-source-dashboard-for-real-time-routing-with-satellite-imagery\/), and more\\!\n\nThe Jupyter project has kindly curated dozens of sample notebooks. [You should check them out](https:\/\/github.com\/jupyter\/jupyter\/wiki)\\!\n\n## Closing\nWhether you’re Python-curious or Python-furious, there’s never been a better time to join in on the Python revolution. Make the switch, sharpen your skills, and start coding immediately to build *your* purpose-built solutions anywhere you go. With Anaconda’s cloud notebook, it’s easier than ever to take advantage of cloud-hosted Python computing. Plus, it’s free! You’ve got nothing to lose. 🙂\n\nTo get started, **head to** [**Anaconda’s cloud platform**](https:\/\/anaconda.cloud\/) and create an account (if you haven’t already). Then, click “Notebooks” in the top navigation bar to access Anaconda’s cloud-hosted notebook—or enter “nb.anaconda.cloud” in your browser to navigate to the notebook directly. Happy coding\\!","meta_canonical":null}

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Boilerpipe Text	We are thrilled to announce that Anaconda’s cloud-hosted, ready-to-code notebook is now available for free on Anaconda’s cloud platform . Last Fall, we introduced Anaconda’s fully-loaded and ready-to-code cloud notebook as part of Anaconda’s paid subscription plans. Today, we are thrilled to deliver on our mission to empower people with data literacy and announce the free availability of Anaconda’s cloud notebook. Now, truly anyone can break into the world of data science and start coding immediately. Paid plans on Anaconda’s cloud platform will continue to include greater cloud-hosted, persistent storage (up to 10 GB) and high-compute seconds (up to 4,000 seconds). Breaking Into Data Science Has Never Been Easier Forget the days of configuring complex Pythonic instances on your desktop. Anaconda’s cloud notebook offers an effortless data science environment that was built to enable lightweight or on-the-go data science work. We have preconfigured Jupyter’s open-source development interface to deliver instant access to hundreds of the most popular and powerful Anaconda packages in a full-featured Jupyter notebook. So whether you use a Chromebook, Netbook, or your cousin’s hand-me-down, with just an internet connection, you too can easily access high computing power, move and host asset files, and spin up data science projects from anywhere. Python: A Coding Language That Fits in Your Head The applications of Python are nearly infinite, and the language itself is beautifully human—readable and iterable. The popularity of Python and the role it plays in data science has become an undeniable force in societies, infrastructures, and the global pursuit of scientific discovery. Anaconda’s distribution was originally built to power web-enabled, distributed access to core scientific and numerical computing packages. Today Anaconda Distribution is used by over 30 million users around the world, resulting in a staggering amount of creative problem solving . Our users are building solutions for fan controller programs , real-time satellite imagery , and more! The Jupyter project has kindly curated dozens of sample notebooks. You should check them out ! Closing Whether you’re Python-curious or Python-furious, there’s never been a better time to join in on the Python revolution. Make the switch, sharpen your skills, and start coding immediately to build your purpose-built solutions anywhere you go. With Anaconda’s cloud notebook, it’s easier than ever to take advantage of cloud-hosted Python computing. Plus, it’s free! You’ve got nothing to lose. 🙂 To get started, head to Anaconda’s cloud platform and create an account (if you haven’t already). Then, click “Notebooks” in the top navigation bar to access Anaconda’s cloud-hosted notebook—or enter “nb.anaconda.cloud” in your browser to navigate to the notebook directly. Happy coding!
Markdown	[Skip to content](https://www.anaconda.com/blog/code-in-the-cloud-with-anaconda-for-free#content) [![Anaconda Homepage](https://www.anaconda.com/wp-content/uploads/2024/11/2020_Anaconda_Logo_RGB_Corporate.png)](https://www.anaconda.com/) - [Products](https://www.anaconda.com/blog/code-in-the-cloud-with-anaconda-for-free) - - - #### ANACONDA PLATFORM - [Platform OverviewEnterprise Python and AI](https://www.anaconda.com/platform) - [Anaconda CorePython package management](https://www.anaconda.com/platform/core) - [Anaconda AI CatalystAI development suite](https://www.anaconda.com/platform/ai-catalyst) - [Deployment OptionsCloud, self-hosted, and more](https://www.anaconda.com/platform/deployment-options) - - #### FOR DEVELOPERS - [Anaconda Distribution](https://www.anaconda.com/download) - [Navigator](https://www.anaconda.com/products/navigator) - [Notebooks](https://www.anaconda.com/products/notebooks) - [Excel Toolbox](https://www.anaconda.com/products/excel-toolbox) - - #### PLATFORM BENEFITS - 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Product # Code in the Cloud With Anaconda—for Free\! By [Anna Ng](https://www.anaconda.com/blog/author/anna-ng/) - February 7, 2023 *We are thrilled to announce that Anaconda’s cloud-hosted, ready-to-code notebook is now available for free on [Anaconda’s cloud platform](http://anaconda.cloud/).* Last Fall, we introduced Anaconda’s fully-loaded and ready-to-code cloud notebook as part of Anaconda’s paid subscription plans. Today, we are thrilled to deliver on our mission to empower people with data literacy and announce the free availability of Anaconda’s cloud notebook. Now, truly anyone can break into the world of data science and start coding immediately. Paid plans on Anaconda’s cloud platform will continue to include greater cloud-hosted, persistent storage (up to 10 GB) and high-compute seconds (up to 4,000 seconds). ## Breaking Into Data Science Has Never Been Easier Forget the days of configuring complex Pythonic instances on your desktop. Anaconda’s cloud notebook offers an effortless data science environment that was built to enable lightweight or on-the-go data science work. We have preconfigured Jupyter’s open-source development interface to deliver instant access to hundreds of the most popular and powerful Anaconda packages in a full-featured Jupyter notebook. So whether you use a Chromebook, Netbook, or your cousin’s hand-me-down, with just an internet connection, you too can easily access high computing power, move and host asset files, and spin up data science projects from anywhere. ## Python: A Coding Language That Fits in Your Head The applications of Python are nearly infinite, and the language itself is beautifully human—readable and iterable. The popularity of Python and the role it plays in data science has become an undeniable force in societies, infrastructures, and the global pursuit of scientific discovery. Anaconda’s distribution was originally built to power web-enabled, distributed access to core scientific and numerical computing packages. Today Anaconda Distribution is used by over 30 million users around the world, resulting in a staggering amount of [creative problem solving](https://www.anaconda.com/blog/). Our users are building solutions for [fan controller programs](https://www.anaconda.com/blog/create-an-intermittent-fan-controller-with-python/), [real-time satellite imagery](https://www.anaconda.com/blog/project-shackleton-an-open-source-dashboard-for-real-time-routing-with-satellite-imagery/), and more\! The Jupyter project has kindly curated dozens of sample notebooks. [You should check them out](https://github.com/jupyter/jupyter/wiki)\! ## Closing Whether you’re Python-curious or Python-furious, there’s never been a better time to join in on the Python revolution. Make the switch, sharpen your skills, and start coding immediately to build your purpose-built solutions anywhere you go. With Anaconda’s cloud notebook, it’s easier than ever to take advantage of cloud-hosted Python computing. Plus, it’s free! You’ve got nothing to lose. 🙂 To get started, head to [Anaconda’s cloud platform](https://anaconda.cloud/) and create an account (if you haven’t already). Then, click “Notebooks” in the top navigation bar to access Anaconda’s cloud-hosted notebook—or enter “nb.anaconda.cloud” in your browser to navigate to the notebook directly. Happy coding\! [PrevPrevious ArticleIntroducing a New Plugin Mechanism for conda](https://www.anaconda.com/blog/introducing-a-new-plugin-mechanism-for-conda) [Next ArticleUpcoming Release(s): Anaconda Distribution 2023.03 and BeyondNext](https://www.anaconda.com/blog/upcoming-releases-anaconda-distribution-2023-03-and-beyond) ###### You May Also Like ### [Anaconda Expands Platform Capabilities to Accelerate AI Development](https://www.anaconda.com/blog/anaconda-expands-platform-capabilities-accelerate-ai-development) Matt Madden ### [Anaconda AI Catalyst: Governing AI Lifecycles From NVIDIA DGX Spark to Nemotron](https://www.anaconda.com/blog/anaconda-ai-catalyst-governing-ai-lifecycles-nvidia-dgx-spark-nemotron) Seth Clark ### [Updated CPU Requirements for Linux and Recommendations for Windows](https://www.anaconda.com/blog/updated-cpu-requirements-linux-recommendations-windows) Tyler Ferguson ## You May Also Like ### [Anaconda Expands Platform Capabilities to Accelerate AI Development](https://www.anaconda.com/blog/anaconda-expands-platform-capabilities-accelerate-ai-development) Matt Madden [Read More](https://www.anaconda.com/blog/anaconda-expands-platform-capabilities-accelerate-ai-development) ### [Anaconda AI Catalyst: Governing AI Lifecycles From NVIDIA DGX Spark to Nemotron](https://www.anaconda.com/blog/anaconda-ai-catalyst-governing-ai-lifecycles-nvidia-dgx-spark-nemotron) Seth Clark [Read More](https://www.anaconda.com/blog/anaconda-ai-catalyst-governing-ai-lifecycles-nvidia-dgx-spark-nemotron) ### [Updated CPU Requirements for Linux and Recommendations for Windows](https://www.anaconda.com/blog/updated-cpu-requirements-linux-recommendations-windows) Tyler Ferguson [Read More](https://www.anaconda.com/blog/updated-cpu-requirements-linux-recommendations-windows) ###### Company - [Press](https://www.anaconda.com/press) - [Careers](https://www.anaconda.com/about-us/careers) - [Contact Us](https://www.anaconda.com/contact) - [Press](https://www.anaconda.com/press) - [Careers](https://www.anaconda.com/about-us/careers) - [Contact Us](https://www.anaconda.com/contact) ###### Products - [Anaconda Platform](https://www.anaconda.com/platform) - [Capabilities](https://www.anaconda.com/capability) - [Professional Services](https://www.anaconda.com/professional-services) - [Pricing](https://www.anaconda.com/pricing) - [Anaconda Platform](https://www.anaconda.com/platform) - [Capabilities](https://www.anaconda.com/capability) - [Professional Services](https://www.anaconda.com/professional-services) - [Pricing](https://www.anaconda.com/pricing) ###### Customers - [Cloud Login](https://anaconda.com/app) - [Support Center](https://anaconda.com/app/support-center) - [Learning Catalog](https://learning.anaconda.com/collections) - [Docs](https://anaconda.com/docs) - [Community](https://forum.anaconda.com/) - [Product Feedback](https://www.anaconda.com/feedback) - [Cloud Login](https://anaconda.com/app) - [Support Center](https://anaconda.com/app/support-center) - [Learning Catalog](https://learning.anaconda.com/collections) - [Docs](https://anaconda.com/docs) - [Community](https://forum.anaconda.com/) - [Product Feedback](https://www.anaconda.com/feedback) ###### Popular - [AI Governance Guide](https://www.anaconda.com/guides/ai-governance-platform-trust) - [AI Platform Guide](https://www.anaconda.com/guides/definitive-guide-to-ai-platforms) - [Python Data Structures Guide](https://www.anaconda.com/blog/python-data-structures-types-use-cases-complexity) - [State of Data Science Report](https://www.anaconda.com/resources/report/8th-annual-state-of-data-science) - [AI Governance Guide](https://www.anaconda.com/guides/ai-governance-platform-trust) - [AI Platform Guide](https://www.anaconda.com/guides/definitive-guide-to-ai-platforms) - [Python Data Structures Guide](https://www.anaconda.com/blog/python-data-structures-types-use-cases-complexity) - [State of Data Science Report](https://www.anaconda.com/resources/report/8th-annual-state-of-data-science) [Create Account](https://auth.anaconda.com/ui/registration) [Contact Sales](https://www.anaconda.com/contact/sales) [Create Account](https://www.anaconda.com/blog/code-in-the-cloud-with-anaconda-for-free) [Contact Sales](https://www.anaconda.com/blog/code-in-the-cloud-with-anaconda-for-free) [![](https://www.anaconda.com/wp-content/uploads/2024/11/Anaconda-Logo.png)](https://www.anaconda.com/) [Facebook](https://www.facebook.com/anacondainc) [X-twitter](https://twitter.com/anacondainc) [Linkedin](https://www.linkedin.com/company/anacondainc) [Github](https://github.com/ContinuumIO) [Instagram](https://www.instagram.com/anaconda_inc) [Youtube](https://www.youtube.com/@AnacondaInc.) © 2026 Anaconda Inc. 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Readable Markdown	*We are thrilled to announce that Anaconda’s cloud-hosted, ready-to-code notebook is now available for free on [Anaconda’s cloud platform](http://anaconda.cloud/).* Last Fall, we introduced Anaconda’s fully-loaded and ready-to-code cloud notebook as part of Anaconda’s paid subscription plans. Today, we are thrilled to deliver on our mission to empower people with data literacy and announce the free availability of Anaconda’s cloud notebook. Now, truly anyone can break into the world of data science and start coding immediately. Paid plans on Anaconda’s cloud platform will continue to include greater cloud-hosted, persistent storage (up to 10 GB) and high-compute seconds (up to 4,000 seconds). ## Breaking Into Data Science Has Never Been Easier Forget the days of configuring complex Pythonic instances on your desktop. Anaconda’s cloud notebook offers an effortless data science environment that was built to enable lightweight or on-the-go data science work. We have preconfigured Jupyter’s open-source development interface to deliver instant access to hundreds of the most popular and powerful Anaconda packages in a full-featured Jupyter notebook. So whether you use a Chromebook, Netbook, or your cousin’s hand-me-down, with just an internet connection, you too can easily access high computing power, move and host asset files, and spin up data science projects from anywhere. ## Python: A Coding Language That Fits in Your Head The applications of Python are nearly infinite, and the language itself is beautifully human—readable and iterable. The popularity of Python and the role it plays in data science has become an undeniable force in societies, infrastructures, and the global pursuit of scientific discovery. Anaconda’s distribution was originally built to power web-enabled, distributed access to core scientific and numerical computing packages. Today Anaconda Distribution is used by over 30 million users around the world, resulting in a staggering amount of [creative problem solving](https://www.anaconda.com/blog/). Our users are building solutions for [fan controller programs](https://www.anaconda.com/blog/create-an-intermittent-fan-controller-with-python/), [real-time satellite imagery](https://www.anaconda.com/blog/project-shackleton-an-open-source-dashboard-for-real-time-routing-with-satellite-imagery/), and more\! The Jupyter project has kindly curated dozens of sample notebooks. [You should check them out](https://github.com/jupyter/jupyter/wiki)\! ## Closing Whether you’re Python-curious or Python-furious, there’s never been a better time to join in on the Python revolution. Make the switch, sharpen your skills, and start coding immediately to build your purpose-built solutions anywhere you go. With Anaconda’s cloud notebook, it’s easier than ever to take advantage of cloud-hosted Python computing. Plus, it’s free! You’ve got nothing to lose. 🙂 To get started, head to [Anaconda’s cloud platform](https://anaconda.cloud/) and create an account (if you haven’t already). Then, click “Notebooks” in the top navigation bar to access Anaconda’s cloud-hosted notebook—or enter “nb.anaconda.cloud” in your browser to navigate to the notebook directly. Happy coding\!
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